"Computer Science - Machine Learning"

Latent Space Translation via Semantic Alignment
Different neural models often exhibit similar latent spaces when exposed to semantically similar data; however, this inherent …
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Latent Space Translation via Semantic Alignment
Spectral Maps for Learning on Subgraphs
In graph learning, maps between graphs and their subgraphs frequently arise. For instance, when coarsening or rewiring operations are …
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Spectral Maps for Learning on Subgraphs
Relative representations enable zero-shot latent space communication
Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. …
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Relative representations enable zero-shot latent space communication
Learning Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study …
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Learning Spectral Unions of Partial Deformable 3D Shapes
Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach
Many natural shapes have most of their characterizing features concentrated over a few regions in space. For example, humans and …
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Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach